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Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Author Ye, Jong Chul

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Showing results 1 to 60 of 244

1	A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction Kang, Eunhee; Min, Junhong; Ye, Jong Chul, MEDICAL PHYSICS, v.44, no.10, pp.e360 - e375, 2017-10
2	A General Framework for Compressed Sensing and Parallel MRI Using Annihilating Filter Based Low-Rank Hankel Matrix Jin, Kyong Hwan; Lee, Dong Wook; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.2, no.4, pp.480 - 495, 2016-12
3	A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media Yoo, Jaejun; Jung, Younghoon; Lim, Mikyoung; Ye, Jong Chul; Wahab, Abdul, SIAM JOURNAL ON IMAGING SCIENCES, v.10, no.3, pp.1104 - 1138, 2017
4	A MATHEMATICAL FRAMEWORK FOR DEEP LEARNING IN ELASTIC SOURCE IMAGING Yoo, Jaejun; Wahab, Abdul; Ye, Jong Chul, SIAM JOURNAL ON APPLIED MATHEMATICS, v.78, no.5, pp.2791 - 2818, 2018-11
5	A non-iterative method for the electrical impedance tomography based on joint sparse recovery Lee, Ok Kyun; Kang, Hyeonbae; Ye, Jong Chul; Lim, Mikyoung, INVERSE PROBLEMS, v.31, no.7, 2015-07
6	A self-referencing level-set method for image reconstruction from sparse Fourier samples Ye, Jong Chul, INTERNATIONAL JOURNAL OF COMPUTER VISION, v.50, no.3, pp.253 - 270, 2002-12
7	A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model Lee, Okkyun; Tak, Sungho; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.34, no.7, pp.1602 - 1615, 2015-07
8	A unified statistical framework for material decomposition using multienergy photon counting x-ray detectors Choi, Jiyoung; Kang, Dong-Goo; Kang, Sunghoon; Sung, Younghun; Ye, Jong Chul, MEDICAL PHYSICS, v.40, no.9, 2013-09
9	Acceleration of MR Parameter Mapping Using Annihilating Filter-Based Low Rank Hankel Matrix (ALOHA) Lee, Dong Wook; Jin, Kyong Hwan; Kim, Eung Yeop; Park, Sung-Hong; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.76, no.6, pp.1848 - 1864, 2016-12
10	Accurate inversion of absorption and scattering in diffuse optical tomography without iterative green's function update Lee, Okkyun; Ye, Jong Chul, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp.661 - 664, Institute of Electrical and Electronics Engineers Inc., 2014-04
11	AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising Gu, Jawook; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.7, pp.73 - 85, 2021-01
12	Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.67, no.8, pp.1558 - 1572, 2020-08
13	Alteration in the local and global functional connectivity of resting state networks in Parkinson’s disease Ghahremani, Maryam; Yoo, Jaejun; Chung, Sun Ju; Yoo, Kwangsun; Ye, Jong Chul; Jeong, Yong, Journal of Movement Disorders, v.11, no.1, pp.13 - 23, 2018-01
14	Annihilating Filter-based Low Rank Hankel Matrix Approach for Biomedical Imaging and Image Processing Ye, Jong Chul, Mathematics in Imaging, OSA (Optical Society of America), 2016-07
15	Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting Jin, Kyong Hwan; Ye, Jong Chul, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.24, no.11, pp.3498 - 3511, 2015-11
16	APPARATUS AND METHOD FOR PROCESSING ULTRASOUND IMAGE IN VARIOUS SENSOR CONDITIONS Ye, Jong Chul; KHAN, SHUJAAT; Huh, Jaeyoung
17	Artificial Intelligence in Health Care: Current Applications and Issues Park, Chan-Woo; Seo, Sung Wook; Kang, Noeul; Ko, BeomSeok; Choi, Byung Wook; Park, ChangMin; Chang, Dong Kyung; et al, JOURNAL OF KOREAN MEDICAL SCIENCE, v.35, no.42, pp.1 - 11, 2020-11
18	Assessing the importance of magnetic resonance contrasts using collaborative generative adversarial networks Lee, Dongwook; Moon, Won-Jin; Ye, Jong Chul, Nature Machine Intelligence, v.2, no.1, pp.34 - 42, 2020-01
19	Asymptotic global confidence regions for 3-D parametric shape estimation in inverse problems Ye, Jong Chul; Moulin, Pierre; Bresler, Yoram, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.15, pp.2904 - 2919, 2006-10
20	Asymptotic global confidence regions in parametric shape estimation problems Ye, Jong Chul; Bresler, Y; Moulin, P, IEEE TRANSACTIONS ON INFORMATION THEORY, v.46, no.5, pp.1881 - 1895, 2000-08
21	Beyond Born-Rytov limit for super-resolution optical diffraction tomography Lim, JooWon; Wahab, Abdul; Park, GwangSik; Lee, Kyeo Reh; Park, Yong Keun; Ye, Jong Chul, OPTICS EXPRESS, v.25, no.24, pp.30445 - 30458, 2017-11
22	Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification Bae, Woong; Yoo, Jaejun; Ye, Jong Chul, 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.1141 - 1149, IEEE Computer Society and the Computer Vision Foundation (CVF), 2017-07
23	Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer Lim, Sungjun; Ye, Jong Chul, 2nd International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2019, pp.173 - 180, Springer, 2019-10-17
24	C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation Kim, Boah; Oh, Yujin; Wood, Bradford J.; Summers, Ronald M.; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.91, 2024-01
25	CLIPstyler: Image Style Transfer with a Single Text Condition Kwon, Gihyun; Ye, Jong Chul, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.18041 - 18050, IEEE COMPUTER SOC, 2022-06
26	Coherent source imaging and dynamic support tracking for inverse scattering using compressive MUSIC Lee, OK; Kim, JM; Yoo, JJ; Jin, KH; Ye, Jong Chul, Wavelets and Sparsity XIV, SPIE, 2011-08
27	Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Chung, Hyungjin; Sim, Byeongsu; Ye, Jong Chul, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.12403 - 12412, IEEE Computer Society, 2022-06
28	Comparative study of iterative reconstruction algorithms for missing cone problems in optical diffraction tomography Lim, JooWon; Lee, Kyeo Reh; Jin, Kyong Hwan; Shin, Seungwoo; Lee, SeoEun; Park, Yong-Keun; Ye, Jong Chul, OPTICS EXPRESS, v.23, no.13, pp.16933 - 16948, 2015-06
29	Compressed sensing fMRI using gradient-recalled echo and EPI sequences Zong, Xiaopeng; Lee, Juyoung; Poplawsky, Alexander John; Kim, Seong-Gi; Ye, Jong Chul, NEUROIMAGE, v.92, pp.312 - 321, 2014-05
30	Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T Han, Paul Kyu; Park, Sung-Hong; Kim, Seong-Gi; Ye, Jong Chul, BIOMED RESEARCH INTERNATIONAL, v.2015, pp.131926, 2015-08
31	Compressed sensing pulse-echo mode terahertz reflectance tomography Jin, Kyung Hwan; Kim, Youngchan; Yee, Dae-Su; Lee, Ok Kyun; Ye, Jong Chul, OPTICS LETTERS, v.34, no.24, pp.3863 - 3865, 2009-12
32	Compressed sensing pulse-echo mode thz tomography Jin, K.H.; Lee, O.K.; Ye, Jong Chul, 34th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2009, Optical Society of America, 2009-09-21
33	Compressed Sensing Reconstruction of Statistical Parameter Map for Functional Diffuse Optical Tomography Lee, O; Kim, J; Bresler, Y; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), pp.94 - 97, IEEE EMBS, 2012-05
34	Compressed sensing shape estimation of star-shaped objects in Fourier imaging Ye, Jong Chul, IEEE SIGNAL PROCESSING LETTERS, v.14, pp.750 - 753, 2007-10
35	Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity Lee, Okkyun; Kim, Jong Min; Bresler, Yoram; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.30, no.5, pp.1129 - 1142, 2011-05
36	Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation Jin, Kyong Hwan; Han, Yo Seob; Ye, Jong Chul, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, pp.1009 - 1012, IEEE Computer Society, 2016-04
37	Compressive MUSIC with optimized partial support for joint sparse recovery Kim, JM; Lee, OK; Ye, Jong Chul, IEEE International Symposium on Information Theory(ISIT), IEEE, 2011-07
38	Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing Kim, Jong Min; Lee, Ok Kyun; Ye, Jong Chul, IEEE TRANSACTIONS ON INFORMATION THEORY, v.58, no.1, pp.278 - 301, 2012-01
39	Compressive MUSIC: Revisiting the Link Between Compressive Sensing and Array Signal Processing (vol 58, pg 278, 2012) Kim, Jong Min; Ye, Jong Chul, IEEE TRANSACTIONS ON INFORMATION THEORY, v.59, no.9, pp.6148 - 6149, 2013-09
40	Compressive Sampling Using Annihilating Filter-Based Low-Rank Interpolation Ye, Jong Chul; Kim, Jong Min; Jin, Kyong Hwan; Lee, Kiryung, IEEE TRANSACTIONS ON INFORMATION THEORY, v.63, no.2, pp.777 - 801, 2017-02
41	Compressive subspace fitting for multiple measurement vectors Kim, Jong Min; Ye, Jong Chul, IEEE Statistical Signal Processing Workshop, pp.576 - 579, IEEE Signal Processing Society, 2012-08
42	Computational MRI: Compressive Sensing and Beyond Jacob, Mathews; Ye, Jong Chul; Ying, Leslie; Doneva, Mariya, IEEE SIGNAL PROCESSING MAGAZINE, v.37, no.1, pp.21 - 23, 2020-01
43	Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models Ye, Jong Chul; KWON, GIHYUN; Simon Jenni; Dingzeyu Li; Joon-Young Lee; Fabian Caba Heilbron, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, IEEE Computer Society, 2024-06
44	Continual learning using image-conditional prompt for vision-language pre-training = 이미지 조건부 프롬프트를 사용한 비전-텍스트 교육의 지속적인 학습 link Hwang, Hyunmin; 황현민; et al, 한국과학기술원, 2023
45	Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN Yang, Serin; Kim, Eung Yeop; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3015 - 3029, 2021-11
46	Continuous Localization Using Sparsity Constraints for High-Density Super-resolution Microscopy Min, Junhong; Vonesch, C´edric; Olivier, Nicolas; Kirshner, Hagai; Manley, Suliana; Ye, Jong Chul; Unser, Michael, IEEE International Symposium on Biomedical Imaging (ISBI), pp.177 - 180, IEEE, 2013-04
47	Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization Han, Inhwa; Kim, Boah; Kim, Eung Yeop; Ye, Jong Chul, 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, pp.262 - 265, Institute of Electrical and Electronics Engineers Inc., 2022-06
48	Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing Ye, Jong Chul; Hyelin Nam; KWON, GIHYUN; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, IEEE Computer Society, 2024-06
49	Cramer-Rao bounds for 2-D target shape estimation in nonlinear inverse scattering problems with application to passive radar Ye, Jong Chul; Bresler, Y; Moulin, P, IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, v.49, no.5, pp.771 - 783, 2001-05
50	Cramer-Rao bounds for parametric shape estimation in inverse problems Ye, Jong Chul; Bresler, Y; Moulin, P, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.12, no.1, pp.71 - 84, 2003-01
51	CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation Oh, Yujin; Ye, Jong Chul, 17th European Conference on Computer Vision (ECCV), pp.627 - 643, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10
52	Cycle-consistent adversarial denoising network for multiphase coronary CT angiography Kang, Eunhee; Koo, Hyun Jung; Yang, Dong Hyun; Seo, Joon Bum; Ye, Jong Chul, MEDICAL PHYSICS, v.46, no.2, pp.550 - 562, 2019-02
53	Cycle-Free CycleGAN Using Invertible Generator for Unsupervised Low-Dose CT Denoising Kwon, Taesung; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.7, pp.1354 - 1368, 2021
54	CycleGAN denoising of extreme low-dose cardiac CT using wavelet-assisted noise disentanglement Gu, Jawook; Yang, Tae Seong; Ye, Jong Chul; Yang, Dong Hyun, MEDICAL IMAGE ANALYSIS, v.74, 2021-12
55	CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry Lim, Sungjun; Park, Hyoungjun; Lee, Sang-Eun; Chang, Sunghoe; Sim, Byeongsu; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.6, pp.1127 - 1138, 2020-07
56	CycleMorph: Cycle consistent unsupervised deformable image registration Kim, Boah; Kim, Dong Hwan; Park, Seong Ho; Kim, Jieun; Lee, June-Goo; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.71, 2021-07
57	Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems Ye, Jong Chul; Chung, Hyungjin; Suhyeon Lee, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations, 2024-05
58	Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network Kang, Eunhee; Chang, Won; Yoo, Jaejun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1358 - 1369, 2018-06
59	Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems Ye, Jong Chul; Han, Yoseob; Cha, Eunju, SIAM JOURNAL ON IMAGING SCIENCES, v.11, no.2, pp.991 - 1048, 2018-07
60	Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data Lee, Chanseok; Song, Gookho; Kim, Hyeonggeon; Ye, Jong Chul; Jang, Mooseok, NATURE MACHINE INTELLIGENCE, v.5, no.1, pp.35 - 45, 2023-01

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